Managing Fake News on Social Media Through Machine Learning - A Comprehensive Analysis

Abstract

The pervasive presence of fake news on social media platforms poses a significant threat to the credibility of information, the functioning of democracies, and the stability of societies. This paper presents a comprehensive analysis of the application of machine learning techniques in managing fake news on social media. We discuss the challenges and opportunities in employing machine learning for fake news detection and mitigation, review the state-of-the-art methods, and suggest future research directions. We also highlight ethical considerations and the importance of maintaining user privacy while combating fake news.